Exporting and analyzing lead data from Leadrebel for detailed reporting

So, you’ve got a pile of leads sitting in Leadrebel, and you need to actually do something useful with them—maybe impress your boss, maybe just figure out what’s working. Either way, this guide is for you. No fluff, no hand-waving. Just a real-world walkthrough on exporting your data, cleaning it up, and getting to the numbers that matter.

Whether you’re a marketer, a sales manager, or just the unlucky soul stuck with reporting, here’s how to take your lead data from Leadrebel and turn it into something actionable.

1. Get Your Data Out of Leadrebel

First things first: you can’t analyze what you can’t access. Leadrebel (leadrebel.html) does a decent job of collecting website visitor data and turning it into “leads,” but its built-in analytics are pretty limited. The real insights come when you get the data out.

Exporting Your Leads

Here’s how to do it:

  1. Log In: Head to your Leadrebel dashboard.
  2. Go To Leads: Click on the “Leads” or “Companies” section—names sometimes change, but you’re looking for the main lead list.
  3. Set Your Filters: If you only want a certain time range, or only specific lead types, set those filters now. Exporting everything “just in case” is how you end up with a mess later.
  4. Export: Look for the “Export” button—usually at the top right. Choose CSV (best for analysis), or Excel if you insist.
  5. Download the File: Save it somewhere obvious. Name it with the date. You’ll thank yourself later.

Pro tip: If you’re on a trial or a lower-tier plan, Leadrebel might restrict exports. Don’t waste time clicking around for a magic unlock—it’s a paywall.

What You’ll Get

Expect a spreadsheet with columns like:

  • Company Name
  • Website
  • Visit Date/Time
  • Page Views
  • Location (Country/City)
  • Industry
  • Contact Data (sometimes scraped, sometimes empty)
  • Source/Medium (where they came from)

Is it perfect? Not even close. Some company names will be generic (“Amazon AWS”), and contact info is hit-or-miss. But for B2B, it’s a good starting point.

2. Clean Up Your Data (Or: Make It Sane)

Raw exports are always messy. You don’t need to be an Excel wizard, but you do need to spend 10 minutes cleaning things up before you trust the numbers.

The Basics

  • Delete Junk Rows: Sometimes the export includes blank rows or obvious bots. Nuke them.
  • Standardize Dates: Make sure all your date fields are in a usable format (YYYY-MM-DD is your friend).
  • Trim Whitespace: Extra spaces break formulas. Use Excel’s TRIM() or Google Sheets’ “Trim whitespace.”
  • Remove Duplicates: If the same company visited 10 times, decide if you care about unique companies or every visit.

Sanity-Check Key Fields

  • Company Names: Are they real companies, or just ISPs? Filter for generic names (“Amazon,” “Google Cloud”) and decide if you want to keep or drop them.
  • Contact Info: If you need emails or phone numbers for outbound, check if they’re actually present. Leadrebel often just gives you a website—don’t expect miracles.
  • Industry/Size: Sometimes Leadrebel tries to guess industry or company size. Treat these as “helpful suggestions,” not facts.

Ignore These

  • Session IDs: Unless you’re doing forensic analysis, you don’t need them.
  • Raw URLs: Unless you’re tracking very specific pages, focus on broad page categories.

3. Decide What You Actually Want to Report

Here’s where a lot of folks go wrong—they try to report on everything. Don’t. Before you get lost in pivot tables, answer this:

What do you actually care about?

A few common options:

  • Volume: How many unique companies are visiting?
  • Source: Where are the best leads coming from?
  • Engagement: Are visitors sticking around or bouncing?
  • Industry Breakdown: Are you reaching the right types of companies?
  • Location: Is your traffic coming from target regions?

Pick two or three. If you try to boil the ocean, you’ll end up with a PDF nobody reads.

4. Analyze the Data (Without Losing Your Mind)

You don’t need fancy BI tools. Excel or Google Sheets will do the job for 99% of teams.

Step-by-Step: Simple Analyses

a) Unique Companies vs. Total Visits

  • Goal: See if you’re attracting new eyes, or just the same ones over and over.
  • How: Use “Remove Duplicates” on the Company Name column to get your unique count.

b) Top Sources

  • Goal: Figure out which channels (Google Ads, LinkedIn, etc.) are actually bringing in leads.
  • How: Pivot by “Source/Medium” and count leads per source.

c) Industry or Location Breakdown

  • Goal: Are you reaching your target market?
  • How: Pivot by “Industry” or “Country.” Be ready to clean up odd spellings and group similar industries.

d) Engagement Metrics

  • Goal: See if leads are actually interested.
  • How: Look at “Page Views” or “Visit Duration” columns. Average them by company or source.

Quick Wins

  • Highlight High-Value Leads: Flag companies that match your ideal customer profile.
  • Spot Trends: Compare this month to last. Are you going up, down, or flatlining?

Pro tip: Don’t get paralyzed by “dirty data.” If 80% of companies have a good industry tag, that’s enough to spot trends.

5. Visualize (If You Must)

Charts are great for meetings, but don’t spend hours making them pretty. Stick to the basics:

  • Bar charts: For top sources, industries, or countries.
  • Line charts: For leads over time.
  • Pie charts: Only if you want to annoy your analyst friends (seriously, stick to bars).

Google Sheets’ built-in charts are good enough. If you’re a data nerd, sure, plug it into Power BI or Tableau—but only if you’re already using them.

6. The Limitations of Leadrebel (And How to Work Around Them)

Let’s be honest—Leadrebel isn’t magic. Here’s what you’ll run into:

What Works

  • Company-level identification: Good for B2B, especially for mid-size and large companies.
  • Basic source tracking: You’ll see where most leads come from.
  • Exporting: Easy enough, as long as your plan allows it.

What Doesn’t

  • Contact data: It’s hit-or-miss. Don’t expect names and emails for every visitor.
  • Small companies or remote workers: Often show up as “unknown” or ISP-level.
  • Real-time alerts: They exist, but they’re noisy and rarely actionable.

What to Ignore

  • “Lead scoring” in the platform: It’s usually just an activity count, not true qualification.
  • Guesswork fields: If a field seems like a wild guess, it probably is.

Workarounds:

  • Enrich data externally: If you need more contact info, consider tools like Hunter.io or LinkedIn for manual lookup.
  • Combine with CRM: Match exported leads against your CRM to track existing vs. new accounts.

7. Automate (But Only If It’s Worth It)

If you’re exporting and reporting every week, look into automation:

  • Zapier or Make.com: Can sometimes pull data automatically (if Leadrebel supports it).
  • Scheduled exports: Some plans let you email reports to yourself. Saves a few clicks.
  • Google Sheets Add-ons: If you’re handy, you can script imports and cleanups.

But: don’t waste hours automating a report you only run once a month. Automate when the pain is real.

8. Reporting: Keep It Short and Actionable

Here’s what most people actually want from a lead report:

  • Key Numbers: Total leads, unique companies, top sources.
  • Trends: Up, down, or flat.
  • Action Items: What’s working, what’s not, and what you’re doing next.

Don’t paste in 20 pages of tables. One page, maybe two charts, and a summary paragraph is usually enough.

Wrapping Up: Don’t Overthink It

Leadrebel’s exports are a solid starting point for B2B lead analysis, but they’re not a magic bullet. Clean your data, focus on what matters, and don’t spend days making fancy charts nobody reads. Most importantly: keep your process simple and tweak it as you learn what’s actually useful for your team.

Real insights come from consistent, basic reporting—not from chasing the latest shiny dashboard. Start small, iterate, and you’ll quickly see what’s worth your time.